Multi-modal medical image fusion is the process of merging multiple images from single or
multiple imaging modalities to improve the imaging quality with preserving the specific …

This tutorial reviews image alignment and image stitching algorithms. Image alignment
algorithms can discover the correspondence relationships among images with varying …

Abstract We present Graph Neural Diffusion (GRAND) that approaches deep learning on
graphs as a continuous diffusion process and treats Graph Neural Networks (GNNs) as …

Recent years have witnessed the increasing popularity of learning based methods to
enhance the color and tone of photos. However, many existing photo enhancement methods …

At the crossing of the statistical and functional analysis, there exists a relentless quest for an
efficient image denoising algorithm. In terms of greyscale imaging, a plethora of denoising …

Due to the poor lighting condition and limited dynamic range of digital imaging devices, the
recorded images are often under-/over-exposed and with low contrast. Most of previous …

Face anti-spoofing (FAS) plays a vital role in securing the face recognition systems from
presentation attacks. Most existing FAS methods capture various cues (eg, texture, depth …

In this article, we tackle the problem of depth estimation from single monocular images.
Compared with depth estimation using multiple images such as stereo depth perception …

Despite the recent success of GANs in synthesizing images conditioned on inputs such as a
user sketch, text, or semantic labels, manipulating the high-level attributes of an existing …

Image and video enhancement such as color constancy, low light enhancement, and tone
mapping on smartphones is challenging because high-quality images should be achieved …